{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4",
      "mount_file_id": "1Bu5mz-92567LP16IocruiHKEbDOjSlsW",
      "authorship_tag": "ABX9TyNewoo+QBUKeNIkV0hTG74C",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "widgets": {
      "application/vnd.jupyter.widget-state+json": {
        "d980bc70fad942868ef9e746589ca159": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_034a42198b604fdba7ea98a1e19f8b79",
              "IPY_MODEL_40e84756ae4b429cb472b77d8588b522",
              "IPY_MODEL_2656148c1ff04a5b92185391ce57a798"
            ],
            "layout": "IPY_MODEL_47ca52efc49546b4b7d202fdef58fc4b"
          }
        },
        "034a42198b604fdba7ea98a1e19f8b79": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_502c47eb22bb45ac820f4f7fe7091cee",
            "placeholder": "​",
            "style": "IPY_MODEL_c5e5651b4b8748fb8f052c94ea971470",
            "value": "config.json: 100%"
          }
        },
        "40e84756ae4b429cb472b77d8588b522": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_7ef3d8b23e5449d8824eb506e50a7746",
            "max": 576,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_6e2499a2c2de4603bd186927bef60c8f",
            "value": 576
          }
        },
        "2656148c1ff04a5b92185391ce57a798": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_45b20774935544839d7731a4137277fb",
            "placeholder": "​",
            "style": "IPY_MODEL_0905513fa9124d9f95ac436f3689ccd4",
            "value": " 576/576 [00:00&lt;00:00, 19.0kB/s]"
          }
        },
        "47ca52efc49546b4b7d202fdef58fc4b": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "502c47eb22bb45ac820f4f7fe7091cee": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "c5e5651b4b8748fb8f052c94ea971470": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "7ef3d8b23e5449d8824eb506e50a7746": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "6e2499a2c2de4603bd186927bef60c8f": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "45b20774935544839d7731a4137277fb": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "0905513fa9124d9f95ac436f3689ccd4": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "84b1bce5808441d586c51df27a8972b4": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_e8ab3be50a7640eeb3cca745f755160c",
              "IPY_MODEL_88bea77c02114045aa648a8002e21e59",
              "IPY_MODEL_c02a7825d89c4fc1b18ee2711edd8a8b"
            ],
            "layout": "IPY_MODEL_859d99c8161c4599be10ed86ae09b28f"
          }
        },
        "e8ab3be50a7640eeb3cca745f755160c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_eaac4e54f11a44e880ca65e1487c3e14",
            "placeholder": "​",
            "style": "IPY_MODEL_a478b27b48f24126a33142b4076ec2be",
            "value": "model.safetensors: 100%"
          }
        },
        "88bea77c02114045aa648a8002e21e59": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_9b87f621a6e44c9f9e3e8ad85ab3b8ca",
            "max": 3511950624,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_afc06c62cb634133af82a6d8dd83d62a",
            "value": 3511950624
          }
        },
        "c02a7825d89c4fc1b18ee2711edd8a8b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_402753bd6d5d4adbb2fd0a0a8a78ac26",
            "placeholder": "​",
            "style": "IPY_MODEL_59804bf73720401da7dfeff0cdfb2001",
            "value": " 3.51G/3.51G [00:23&lt;00:00, 240MB/s]"
          }
        },
        "859d99c8161c4599be10ed86ae09b28f": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "eaac4e54f11a44e880ca65e1487c3e14": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "a478b27b48f24126a33142b4076ec2be": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "9b87f621a6e44c9f9e3e8ad85ab3b8ca": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "afc06c62cb634133af82a6d8dd83d62a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "402753bd6d5d4adbb2fd0a0a8a78ac26": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "59804bf73720401da7dfeff0cdfb2001": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "53c3913b50d0492abaf25bef6056c209": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_66e87b691a07400987c7ef936a1bdb67",
              "IPY_MODEL_f967960e8ff64cdb8166cf72d629d2c0",
              "IPY_MODEL_ffd52ccd5e6249e0bf09feb62f776103"
            ],
            "layout": "IPY_MODEL_77dc3714fef949778993ea9d4f7ee6a6"
          }
        },
        "66e87b691a07400987c7ef936a1bdb67": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_295fce0d07d8446f9ef34b8db3fa4e8f",
            "placeholder": "​",
            "style": "IPY_MODEL_a719b8e77dc2479abac4cd4ba965178a",
            "value": "100%"
          }
        },
        "f967960e8ff64cdb8166cf72d629d2c0": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_96a2ae9e1b17475db005a424f0c41303",
            "max": 25,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_f8f97cce0e9647cdb103d0af77175fc8",
            "value": 25
          }
        },
        "ffd52ccd5e6249e0bf09feb62f776103": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_1cba018b638d4d7982989420056a3834",
            "placeholder": "​",
            "style": "IPY_MODEL_3c31799f26094d72aa09cf892663051e",
            "value": " 25/25 [00:38&lt;00:00,  1.60s/it]"
          }
        },
        "77dc3714fef949778993ea9d4f7ee6a6": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "295fce0d07d8446f9ef34b8db3fa4e8f": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "a719b8e77dc2479abac4cd4ba965178a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "96a2ae9e1b17475db005a424f0c41303": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "f8f97cce0e9647cdb103d0af77175fc8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "1cba018b638d4d7982989420056a3834": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "3c31799f26094d72aa09cf892663051e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "48a70b520eaa4734841f8236d8a39146": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_272fa64368ce4d76bdef6b3283cab78b",
              "IPY_MODEL_3ca18cb1de094a91a5c047109fb890de",
              "IPY_MODEL_9868ae1da13d483481624f1fb01162b0"
            ],
            "layout": "IPY_MODEL_318c3e3a0bd245e9a1039e16f646591d"
          }
        },
        "272fa64368ce4d76bdef6b3283cab78b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_b7a99576d5b943f1ad5c4bd7d51c2846",
            "placeholder": "​",
            "style": "IPY_MODEL_09e1c2622a394c399d1e66d38349467d",
            "value": "100%"
          }
        },
        "3ca18cb1de094a91a5c047109fb890de": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_4ec688a65db94573a325631af704f364",
            "max": 25,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_c3ffbb41fab94cf4ae11765cc7649301",
            "value": 25
          }
        },
        "9868ae1da13d483481624f1fb01162b0": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_2afa4574adf7463ebd539bbb7bed0842",
            "placeholder": "​",
            "style": "IPY_MODEL_3150dd48b94a4ea89508b450c44b2797",
            "value": " 25/25 [00:42&lt;00:00,  1.72s/it]"
          }
        },
        "318c3e3a0bd245e9a1039e16f646591d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b7a99576d5b943f1ad5c4bd7d51c2846": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "09e1c2622a394c399d1e66d38349467d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "4ec688a65db94573a325631af704f364": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "c3ffbb41fab94cf4ae11765cc7649301": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "2afa4574adf7463ebd539bbb7bed0842": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "3150dd48b94a4ea89508b450c44b2797": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "bb56e752b8d84b5aaf38b2f4641a22ca": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_ebf564225186401eb79bc687b52ad9a7",
              "IPY_MODEL_9767761557ef41f2a9a2343dd347c463",
              "IPY_MODEL_8028c14844014f3ab312f3cde798b3e5"
            ],
            "layout": "IPY_MODEL_817cf4d859d44fe2839ccbeba97d919d"
          }
        },
        "ebf564225186401eb79bc687b52ad9a7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_1273633085aa4af89291eff3e4e2f29f",
            "placeholder": "​",
            "style": "IPY_MODEL_f6c95a1f681e4ecf97f216a36095aba8",
            "value": "100%"
          }
        },
        "9767761557ef41f2a9a2343dd347c463": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_1a9700eee6ac4a1fb08e609fa8418d05",
            "max": 25,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_1470b118a0f0413abdab02fca78dd45c",
            "value": 25
          }
        },
        "8028c14844014f3ab312f3cde798b3e5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_b09c8897dce84ecdba671e44a4ad1b98",
            "placeholder": "​",
            "style": "IPY_MODEL_672d4d8051b045489b5e6e4788877a62",
            "value": " 25/25 [00:41&lt;00:00,  1.64s/it]"
          }
        },
        "817cf4d859d44fe2839ccbeba97d919d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "1273633085aa4af89291eff3e4e2f29f": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "f6c95a1f681e4ecf97f216a36095aba8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "1a9700eee6ac4a1fb08e609fa8418d05": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "1470b118a0f0413abdab02fca78dd45c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "b09c8897dce84ecdba671e44a4ad1b98": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "672d4d8051b045489b5e6e4788877a62": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "fbca8f9d5aed4825b4fcd8ec01277f4d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_2a07f3eb90404ef98d89060a0eddfe73",
              "IPY_MODEL_7bc75bc1d826484f88bdfada3bef1a6c",
              "IPY_MODEL_410b9b95eb9448b5ad8d03ed54b21c2c"
            ],
            "layout": "IPY_MODEL_e19f1c0c8ea24feb85ac4934183044ab"
          }
        },
        "2a07f3eb90404ef98d89060a0eddfe73": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_d3969260e23f42ab8d80fc46fe5c1dfa",
            "placeholder": "​",
            "style": "IPY_MODEL_e89ea1edf8164d509dd2b7c0968b5051",
            "value": "100%"
          }
        },
        "7bc75bc1d826484f88bdfada3bef1a6c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_9877af3d2d8847068d687a323a40eeeb",
            "max": 25,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_bb5156186e124f7d8ce959d1b4a0f769",
            "value": 25
          }
        },
        "410b9b95eb9448b5ad8d03ed54b21c2c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_426c31240cc346a1967d772ce304a493",
            "placeholder": "​",
            "style": "IPY_MODEL_ea82f8a6a31b43af830b832fc3ff8c4e",
            "value": " 25/25 [00:41&lt;00:00,  1.68s/it]"
          }
        },
        "e19f1c0c8ea24feb85ac4934183044ab": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "d3969260e23f42ab8d80fc46fe5c1dfa": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "e89ea1edf8164d509dd2b7c0968b5051": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "9877af3d2d8847068d687a323a40eeeb": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "bb5156186e124f7d8ce959d1b4a0f769": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "426c31240cc346a1967d772ce304a493": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "ea82f8a6a31b43af830b832fc3ff8c4e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "695e3f08a98d4589b870123ebe6e525d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_a3c79eae8be846e78e17d5ecf2d3f63c",
              "IPY_MODEL_cd17ef38f1b147a0bf8702bd3477280e",
              "IPY_MODEL_90cb20ff6b4542b2a5c570398999aacd"
            ],
            "layout": "IPY_MODEL_28baed29362d4a40bba721753c5201df"
          }
        },
        "a3c79eae8be846e78e17d5ecf2d3f63c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_2f92231e4a854825a9a9be040b9c2d28",
            "placeholder": "​",
            "style": "IPY_MODEL_0ae0bfd052714b4a96b69be1c6cb7d82",
            "value": "100%"
          }
        },
        "cd17ef38f1b147a0bf8702bd3477280e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_99883ce5617347f099f417e017e617bc",
            "max": 25,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_8c0519a977fd412589b7a30f482f2e22",
            "value": 25
          }
        },
        "90cb20ff6b4542b2a5c570398999aacd": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_c27aa0a7b07645ebbf3c6b0b66f1103d",
            "placeholder": "​",
            "style": "IPY_MODEL_ad629226d74249288b4fa6866ed70846",
            "value": " 25/25 [00:42&lt;00:00,  1.68s/it]"
          }
        },
        "28baed29362d4a40bba721753c5201df": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "2f92231e4a854825a9a9be040b9c2d28": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "0ae0bfd052714b4a96b69be1c6cb7d82": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "99883ce5617347f099f417e017e617bc": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "8c0519a977fd412589b7a30f482f2e22": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "c27aa0a7b07645ebbf3c6b0b66f1103d": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "ad629226d74249288b4fa6866ed70846": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "5a5d1ca544f24785a68ef1b011dbd247": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_573058100bfd4d8eaac3360648b01194",
              "IPY_MODEL_a50a0782ad3945d3abe14542dbe14a6e",
              "IPY_MODEL_8df892c01cc245ce8f87d6825c0e6080"
            ],
            "layout": "IPY_MODEL_0220e3fcacab4b96be29a8a4236181e5"
          }
        },
        "573058100bfd4d8eaac3360648b01194": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_8fed2c1845ae45b58ea7f41b5ecd67cd",
            "placeholder": "​",
            "style": "IPY_MODEL_b1242c32c8ed4c10b970fd2775d4b877",
            "value": "100%"
          }
        },
        "a50a0782ad3945d3abe14542dbe14a6e": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_87c8a0f4d8bb4f908a85546448e3dfce",
            "max": 25,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_ffc63f8b2e094f40b445c3b5e6943dbd",
            "value": 25
          }
        },
        "8df892c01cc245ce8f87d6825c0e6080": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_5c7b68e65cfe4fe7bf429968a8c92973",
            "placeholder": "​",
            "style": "IPY_MODEL_99aba74e78ef4eff8b93c49252e98748",
            "value": " 25/25 [00:41&lt;00:00,  1.67s/it]"
          }
        },
        "0220e3fcacab4b96be29a8a4236181e5": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "8fed2c1845ae45b58ea7f41b5ecd67cd": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b1242c32c8ed4c10b970fd2775d4b877": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "87c8a0f4d8bb4f908a85546448e3dfce": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "ffc63f8b2e094f40b445c3b5e6943dbd": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "5c7b68e65cfe4fe7bf429968a8c92973": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "99aba74e78ef4eff8b93c49252e98748": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "53e91c04d0a04445ab46d07baa14fd12": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_3726866b879c4f2183ee8f734339ad9a",
              "IPY_MODEL_355791ee68134040b512462121ed2c77",
              "IPY_MODEL_b2351252bac448ca9f0368b35f7ea2e8"
            ],
            "layout": "IPY_MODEL_d7ee98550c9642f3a6fb2136c2678022"
          }
        },
        "3726866b879c4f2183ee8f734339ad9a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_57c6007eaa814a8cae87fb0bc6daf620",
            "placeholder": "​",
            "style": "IPY_MODEL_b133481a0611448392c57b58f6d6aec8",
            "value": "100%"
          }
        },
        "355791ee68134040b512462121ed2c77": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_a0b481408d4d4b0d8a371fe4fac12582",
            "max": 25,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_0f4462714e954b4e8fb75e70d609fdca",
            "value": 25
          }
        },
        "b2351252bac448ca9f0368b35f7ea2e8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_ba548ce17fd04fa9a5f693eaf4d8141a",
            "placeholder": "​",
            "style": "IPY_MODEL_8de6fc63e0184c69b56040370354d26b",
            "value": " 25/25 [00:42&lt;00:00,  1.68s/it]"
          }
        },
        "d7ee98550c9642f3a6fb2136c2678022": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "57c6007eaa814a8cae87fb0bc6daf620": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b133481a0611448392c57b58f6d6aec8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "a0b481408d4d4b0d8a371fe4fac12582": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "0f4462714e954b4e8fb75e70d609fdca": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "ba548ce17fd04fa9a5f693eaf4d8141a": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "8de6fc63e0184c69b56040370354d26b": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "cd17da39a12942589b7cad0eb067cea9": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_5270b27da7ff4b1985aa1eeec152e2c3",
              "IPY_MODEL_25b9aaed2abe4068974a3162b951fd99",
              "IPY_MODEL_8f66fd7618b84c1dbd6da8b6d40a9ad5"
            ],
            "layout": "IPY_MODEL_2d66e1e26b304dd68813117bdb21cc31"
          }
        },
        "5270b27da7ff4b1985aa1eeec152e2c3": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_d543741235c24a75840418f1e1876614",
            "placeholder": "​",
            "style": "IPY_MODEL_19e896651fdc45519df678262d517401",
            "value": "100%"
          }
        },
        "25b9aaed2abe4068974a3162b951fd99": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_a3fc3c1dfe0b494297165dd0fa3f8cc1",
            "max": 25,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_e38e3fc0314447a88255915c7b5caac8",
            "value": 25
          }
        },
        "8f66fd7618b84c1dbd6da8b6d40a9ad5": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_0ec0309d58e8414c9a49b049163a6b0c",
            "placeholder": "​",
            "style": "IPY_MODEL_e14f25278ced4b4c957d262d8bc3dd57",
            "value": " 25/25 [00:41&lt;00:00,  1.66s/it]"
          }
        },
        "2d66e1e26b304dd68813117bdb21cc31": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "d543741235c24a75840418f1e1876614": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "19e896651fdc45519df678262d517401": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "a3fc3c1dfe0b494297165dd0fa3f8cc1": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "e38e3fc0314447a88255915c7b5caac8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "0ec0309d58e8414c9a49b049163a6b0c": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "e14f25278ced4b4c957d262d8bc3dd57": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "69cfa4542b744198879f96d7d4b2d0cf": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_2f965b8cab474b28afbe56cf2a4818f8",
              "IPY_MODEL_ae2e90c909dd45fc8a49f2377e94b6e6",
              "IPY_MODEL_a69df009eb0742b881cbee86db6d352a"
            ],
            "layout": "IPY_MODEL_b37b1326b8b64320a21a177eb5732c4e"
          }
        },
        "2f965b8cab474b28afbe56cf2a4818f8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_fc95757d976d4962a7eea2c408317bbd",
            "placeholder": "​",
            "style": "IPY_MODEL_2f5c5a0710264b00a5f98170b0bf8442",
            "value": "100%"
          }
        },
        "ae2e90c909dd45fc8a49f2377e94b6e6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_dc5ec18e0e114377a83f7020c18ad1d9",
            "max": 25,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_4ada31feac41496d829e92a20a7348e4",
            "value": 25
          }
        },
        "a69df009eb0742b881cbee86db6d352a": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_1df82f920ac845b483722c390cf955ec",
            "placeholder": "​",
            "style": "IPY_MODEL_6a7a867bd89f4d88a121a915722c9da0",
            "value": " 25/25 [00:41&lt;00:00,  1.68s/it]"
          }
        },
        "b37b1326b8b64320a21a177eb5732c4e": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "fc95757d976d4962a7eea2c408317bbd": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "2f5c5a0710264b00a5f98170b0bf8442": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "dc5ec18e0e114377a83f7020c18ad1d9": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "4ada31feac41496d829e92a20a7348e4": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "1df82f920ac845b483722c390cf955ec": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "6a7a867bd89f4d88a121a915722c9da0": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "afa174b11a39412ca8ea79a6d34751fb": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HBoxModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_44f7010a69444e47b70172721fee80b6",
              "IPY_MODEL_fae402789f484014afb4ac166aa0f46c",
              "IPY_MODEL_b465bda6b83d46f2842b5de03002ccc3"
            ],
            "layout": "IPY_MODEL_6d9a9be5a7fe4d35b63600c03a8b1714"
          }
        },
        "44f7010a69444e47b70172721fee80b6": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_12148869c6644166a830c73d2d8e8c63",
            "placeholder": "​",
            "style": "IPY_MODEL_839239892bf745e08262cc261a5069ef",
            "value": "100%"
          }
        },
        "fae402789f484014afb4ac166aa0f46c": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FloatProgressModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_1c36967bb6f745858bb7066a1fb9e395",
            "max": 25,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_b789eb76447d4f328fe0c1cbdee177c7",
            "value": 25
          }
        },
        "b465bda6b83d46f2842b5de03002ccc3": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "HTMLModel",
          "model_module_version": "1.5.0",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_53ed4913b682495ab9382bbc5c5de6f5",
            "placeholder": "​",
            "style": "IPY_MODEL_8a275f9c451f483a9abc3d6fe2c99fb8",
            "value": " 25/25 [00:41&lt;00:00,  1.67s/it]"
          }
        },
        "6d9a9be5a7fe4d35b63600c03a8b1714": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "12148869c6644166a830c73d2d8e8c63": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "839239892bf745e08262cc261a5069ef": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "1c36967bb6f745858bb7066a1fb9e395": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b789eb76447d4f328fe0c1cbdee177c7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ProgressStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "53ed4913b682495ab9382bbc5c5de6f5": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "8a275f9c451f483a9abc3d6fe2c99fb8": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        }
      }
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/SigLIP/Fine_tuning_SigLIP_and_friends_for_multi_label_image_classification.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Fine-tune SigLIP and friends for multi-label image classification\n",
        "\n",
        "In this notebook, I'll show how one can fine-tune any pre-trained vision model from the Transformers library for multi-label image classification.\n",
        "\n",
        "It's the computer vision counterpart of a [similar notebook](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/BERT/Fine_tuning_BERT_(and_friends)_for_multi_label_text_classification.ipynb) I made for multi-label text classification with BERT and friends.\n",
        "\n",
        "As we'll see, the API is pretty identical, the only difference is that we now need to prepare images (`pixel_values`) for the model rather than text (`input_ids` and `attention_mask`). As every vision model in the library has the same API, one can plug in any pre-trained image encoder from the [hub](https://huggingface.co/). Here we'll use [SigLIP](https://huggingface.co/docs/transformers/en/model_doc/siglip) as it's one of the strongest vision encoders at the time of writing.\n",
        "\n",
        "Note: you'll need to run this notebook on a GPU.\n",
        "\n",
        "## Set-up environment\n",
        "\n",
        "Let's start by installing 🤗 Transformers and 🤗 Datasets."
      ],
      "metadata": {
        "id": "lh7XQryIbpwC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# we're installing from source since the model we will be using is brand new at the time of writing\n",
        "!pip install --upgrade git+https://github.com/huggingface/transformers.git"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FdJ3qBkRFcO-",
        "outputId": "d2bb0f90-bc19-4e2d-deab-1d899b57237c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "rm: cannot remove 'transformers': No such file or directory\n",
            "Cloning into 'transformers'...\n",
            "remote: Enumerating objects: 231789, done.\u001b[K\n",
            "remote: Counting objects: 100% (590/590), done.\u001b[K\n",
            "remote: Compressing objects: 100% (434/434), done.\u001b[K\n",
            "remote: Total 231789 (delta 285), reused 337 (delta 118), pack-reused 231199\u001b[K\n",
            "Receiving objects: 100% (231789/231789), 223.25 MiB | 14.09 MiB/s, done.\n",
            "Resolving deltas: 100% (164277/164277), done.\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for transformers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l1XJEmWNbkip",
        "outputId": "90638e7b-c23a-4976-ec0f-d136adb51af0"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m536.6/536.6 kB\u001b[0m \u001b[31m7.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m38.3/38.3 MB\u001b[0m \u001b[31m26.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m116.3/116.3 kB\u001b[0m \u001b[31m16.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.8/134.8 kB\u001b[0m \u001b[31m19.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "ibis-framework 7.1.0 requires pyarrow<15,>=2, but you have pyarrow 15.0.0 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0m"
          ]
        }
      ],
      "source": [
        "!pip install -q datasets"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Load CSV\n",
        "\n",
        "We'll download a multi-label image classification dataset from here: https://www.kaggle.com/datasets/meherunnesashraboni/multi-label-image-classification-dataset?resource=download.\n",
        "\n",
        "Next, let's read the associated csv as a Pandas dataframe. Each row consists of a training example, containing the filename of an image and the corresponding one-hot encoded labels. This is exactly the format we need for multi-label classification :)"
      ],
      "metadata": {
        "id": "VT9hYUAu1ZTf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "df = pd.read_csv(\"/content/drive/MyDrive/ConvNext/Tutorial notebooks/Data/multilabel_modified/multilabel_classification(2).csv\")\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 348
        },
        "id": "1rKRkhA21bRP",
        "outputId": "0d2fe8b8-16d5-402a-e8dc-51b260df64ed"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Image_Name  \\\n",
              "0  image1.jpg   \n",
              "1  image2.jpg   \n",
              "2  image3.jpg   \n",
              "3  image4.jpg   \n",
              "4  image5.jpg   \n",
              "\n",
              "   Classes(motorcycle, truck, boat, bus, cycle, person, desert, mountains, sea, sunset, trees, sitar, ektara, flutes, tabla, harmonium)  \\\n",
              "0                                         bus person                                                                                      \n",
              "1                                              sitar                                                                                      \n",
              "2                                             flutes                                                                                      \n",
              "3                                          bus trees                                                                                      \n",
              "4                                                bus                                                                                      \n",
              "\n",
              "   motorcycle  truck  boat  bus  cycle  person  desert  mountains  sea  \\\n",
              "0           0      0     0    1      0       1       0          0    0   \n",
              "1           0      0     0    0      0       0       0          0    0   \n",
              "2           0      0     0    0      0       0       0          0    0   \n",
              "3           0      0     0    1      0       0       0          0    0   \n",
              "4           0      0     0    1      0       0       0          0    0   \n",
              "\n",
              "   sunset  trees  sitar  ektara  flutes  tabla  harmonium  \n",
              "0       0      0      0       0       0      0          0  \n",
              "1       0      0      1       0       0      0          0  \n",
              "2       0      0      0       0       1      0          0  \n",
              "3       0      1      0       0       0      0          0  \n",
              "4       0      0      0       0       0      0          0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d71a082e-c7de-4833-acdb-3b57b858832c\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Image_Name</th>\n",
              "      <th>Classes(motorcycle, truck, boat, bus, cycle, person, desert, mountains, sea, sunset, trees, sitar, ektara, flutes, tabla, harmonium)</th>\n",
              "      <th>motorcycle</th>\n",
              "      <th>truck</th>\n",
              "      <th>boat</th>\n",
              "      <th>bus</th>\n",
              "      <th>cycle</th>\n",
              "      <th>person</th>\n",
              "      <th>desert</th>\n",
              "      <th>mountains</th>\n",
              "      <th>sea</th>\n",
              "      <th>sunset</th>\n",
              "      <th>trees</th>\n",
              "      <th>sitar</th>\n",
              "      <th>ektara</th>\n",
              "      <th>flutes</th>\n",
              "      <th>tabla</th>\n",
              "      <th>harmonium</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>image1.jpg</td>\n",
              "      <td>bus person</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>image2.jpg</td>\n",
              "      <td>sitar</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>image3.jpg</td>\n",
              "      <td>flutes</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>image4.jpg</td>\n",
              "      <td>bus trees</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>image5.jpg</td>\n",
              "      <td>bus</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d71a082e-c7de-4833-acdb-3b57b858832c')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-d71a082e-c7de-4833-acdb-3b57b858832c button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-d71a082e-c7de-4833-acdb-3b57b858832c');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-f991a630-051f-42e5-878c-73400c4f64da\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f991a630-051f-42e5-878c-73400c4f64da')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-f991a630-051f-42e5-878c-73400c4f64da button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let's check one example:"
      ],
      "metadata": {
        "id": "rbzrv4mnFExl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.iloc[62].values"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gH5pmwem4b1j",
        "outputId": "cb9b1e70-aaa9-431c-dac0-59b7d1442bfc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['image63.jpg', '  person tabla', 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 1, 0], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.iloc[0][2:].values"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d8CZSAb812Tt",
        "outputId": "70d1d088-2bf1-44cd-a853-1cf89a20b0b2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "labels = list(df.columns)[2:]\n",
        "print(labels)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rm1peDNr30IA",
        "outputId": "961b9376-0c33-41c9-accd-2808b128363f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['motorcycle', 'truck', 'boat', 'bus', 'cycle', 'person', 'desert', 'mountains', 'sea', 'sunset', 'trees', 'sitar', 'ektara', 'flutes', 'tabla', 'harmonium']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We create an id2label dictionary which maps integers to strings."
      ],
      "metadata": {
        "id": "SKWGvJzHGKii"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "id2label = {id: label for id, label in enumerate(labels)}\n",
        "print(id2label)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_tc6zHtN34oX",
        "outputId": "d1e2b915-d824-4d05-f29a-f0298aaf34f1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{0: 'motorcycle', 1: 'truck', 2: 'boat', 3: 'bus', 4: 'cycle', 5: 'person', 6: 'desert', 7: 'mountains', 8: 'sea', 9: 'sunset', 10: 'trees', 11: 'sitar', 12: 'ektara', 13: 'flutes', 14: 'tabla', 15: 'harmonium'}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Load model and image processor\n",
        "\n",
        "Next, let's instantiate a pre-trained model from the hub, and add a randomly initialized classification head on top.\n",
        "\n",
        "* At the time of writing this notebook, [SigLIP](https://huggingface.co/docs/transformers/en/model_doc/siglip) is one of the best pre-trained image encoders, hence we'll use a checkpoint of it. It has been pre-trained on a lot of image-text pairs in a contrastive fashion similar to [CLIP](https://huggingface.co/docs/transformers/en/model_doc/clip). Note that you can specify any image classifier supported [here](https://huggingface.co/docs/transformers/model_doc/auto#transformers.AutoModelForImageClassification.from_pretrained)!\n",
        "\n",
        "* We also specify the `problem_type` to be \"multi_label_classification\". This makes sure that the appropriate loss function will be used when passing labels to the model (which in the case of multi-label classification is the [binary cross-entropy loss with logits](https://pytorch.org/docs/stable/generated/torch.nn.BCEWithLogitsLoss.html)).\n",
        "* Finally we also pass the id2label mapping, which will make it easy to map integer labels back to text at inference time."
      ],
      "metadata": {
        "id": "uvIQpnXGcaec"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from transformers import AutoImageProcessor, AutoModelForImageClassification\n",
        "\n",
        "model_id = \"google/siglip-so400m-patch14-384\"\n",
        "\n",
        "processor = AutoImageProcessor.from_pretrained(model_id)\n",
        "model = AutoModelForImageClassification.from_pretrained(model_id, problem_type=\"multi_label_classification\", id2label=id2label)"
      ],
      "metadata": {
        "id": "UWaXm8FUcaEY",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 137,
          "referenced_widgets": [
            "d980bc70fad942868ef9e746589ca159",
            "034a42198b604fdba7ea98a1e19f8b79",
            "40e84756ae4b429cb472b77d8588b522",
            "2656148c1ff04a5b92185391ce57a798",
            "47ca52efc49546b4b7d202fdef58fc4b",
            "502c47eb22bb45ac820f4f7fe7091cee",
            "c5e5651b4b8748fb8f052c94ea971470",
            "7ef3d8b23e5449d8824eb506e50a7746",
            "6e2499a2c2de4603bd186927bef60c8f",
            "45b20774935544839d7731a4137277fb",
            "0905513fa9124d9f95ac436f3689ccd4",
            "84b1bce5808441d586c51df27a8972b4",
            "e8ab3be50a7640eeb3cca745f755160c",
            "88bea77c02114045aa648a8002e21e59",
            "c02a7825d89c4fc1b18ee2711edd8a8b",
            "859d99c8161c4599be10ed86ae09b28f",
            "eaac4e54f11a44e880ca65e1487c3e14",
            "a478b27b48f24126a33142b4076ec2be",
            "9b87f621a6e44c9f9e3e8ad85ab3b8ca",
            "afc06c62cb634133af82a6d8dd83d62a",
            "402753bd6d5d4adbb2fd0a0a8a78ac26",
            "59804bf73720401da7dfeff0cdfb2001"
          ]
        },
        "outputId": "7a79be6a-edc5-45da-aa68-89271e210c89"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "config.json:   0%|          | 0.00/576 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "d980bc70fad942868ef9e746589ca159"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "model.safetensors:   0%|          | 0.00/3.51G [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "84b1bce5808441d586c51df27a8972b4"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Some weights of SiglipForImageClassification were not initialized from the model checkpoint at google/siglip-so400m-patch14-384 and are newly initialized: ['classifier.bias', 'classifier.weight']\n",
            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Create PyTorch Dataset\n",
        "\n",
        "Next we'll create a regular PyTorch dataset, which prepares the data for the model. Each training example consists of 2 things:\n",
        "* pixel_values, which is the image prepared in the format that the model expects\n",
        "* labels, the corresponding multiple labels, as a one-hot encoded vector."
      ],
      "metadata": {
        "id": "_lwH2IP_ciYj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from torch.utils.data import Dataset\n",
        "import torch\n",
        "from PIL import Image\n",
        "import os\n",
        "import numpy as np\n",
        "\n",
        "class MultiLabelDataset(Dataset):\n",
        "  def __init__(self, root, df, transform):\n",
        "    self.root = root\n",
        "    self.df = df\n",
        "    self.transform = transform\n",
        "\n",
        "  def __getitem__(self, idx):\n",
        "    item = self.df.iloc[idx]\n",
        "    # get image\n",
        "    image_path = os.path.join(self.root, item[\"Image_Name\"])\n",
        "    image = Image.open(image_path).convert(\"RGB\")\n",
        "\n",
        "    # prepare image for the model\n",
        "    pixel_values = self.transform(image)\n",
        "\n",
        "    # get labels\n",
        "    labels = item[2:].values.astype(np.float32)\n",
        "\n",
        "    # turn into PyTorch tensor\n",
        "    labels = torch.from_numpy(labels)\n",
        "\n",
        "    return pixel_values, labels\n",
        "\n",
        "  def __len__(self):\n",
        "    return len(self.df)"
      ],
      "metadata": {
        "id": "H_sgmqm7ciCL"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "To prepare the images for the model, we'll use the [Torchvision](https://pytorch.org/vision/stable/index.html) package which provides several nice image transformations which we can use. Of course, feel free to use another library here, like Albumentations.\n",
        "\n",
        "The most important thing to keep in mind here is that images need to be resized to the size that the model expects (which in this case is 384), and that we normalize the color channels with the appropriate mean and standard deviation. These properties can all be found from the image processor, which is a minimal object typically used for inference only."
      ],
      "metadata": {
        "id": "3mUbNCuLHUcp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from torchvision.transforms import Compose, Resize, ToTensor, Normalize\n",
        "\n",
        "# get appropriate size, mean and std based on the image processor\n",
        "size = processor.size[\"height\"]\n",
        "mean = processor.image_mean\n",
        "std = processor.image_std\n",
        "\n",
        "transform = Compose([\n",
        "    Resize((size, size)),\n",
        "    ToTensor(),\n",
        "    Normalize(mean=mean, std=std),\n",
        "])\n",
        "\n",
        "train_dataset = MultiLabelDataset(root=\"/content/drive/MyDrive/ConvNext/Tutorial notebooks/Data/multilabel_modified/images\",\n",
        "                                  df=df, transform=transform)"
      ],
      "metadata": {
        "id": "Sk3Htexcqwrj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pixel_values, labels = train_dataset[63]\n",
        "print(pixel_values.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lkJDLHiA3HVh",
        "outputId": "0566c85f-5a1e-4f86-840c-9cdbbf79fddf"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([3, 384, 384])\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let's verify the preprocessed image by \"denormalizing\" the pixel values:"
      ],
      "metadata": {
        "id": "NKU_ZBSDH6_9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "unnormalized_image = (pixel_values.numpy() * np.array(std)[:, None, None]) + np.array(mean)[:, None, None]\n",
        "unnormalized_image = (unnormalized_image * 255).astype(np.uint8)\n",
        "unnormalized_image = np.moveaxis(unnormalized_image, 0, -1)\n",
        "Image.fromarray(unnormalized_image)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 401
        },
        "id": "7TD9cX-vH9jv",
        "outputId": "294c40d6-02bd-4b68-d740-8b46aab81ba5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=384x384>"
            ],
            "image/png": "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\n"
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let's verify the corresponding one-hot encoded vector of labels applicable to this image:"
      ],
      "metadata": {
        "id": "lv9cKGOfISrE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "labels"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l35iXk8t4kFi",
        "outputId": "f74e111f-da9f-4507-82f6-a5cab3bd143a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.])"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "torch.nonzero(labels).squeeze().tolist()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "M0oj0-1K5RC7",
        "outputId": "7cd5e852-2538-4b2d-bee5-290524445b17"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[5, 14]"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "[id2label[label] for label in torch.nonzero(labels).squeeze().tolist()]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RqIpCCyz4mrb",
        "outputId": "f728c872-38b5-4de6-84bf-32e81683bb0c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['person', 'tabla']"
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Create PyTorch DataLoader\n",
        "\n",
        "Cool! Next we can create a corresponding [PyTorch DataLoader](https://pytorch.org/tutorials/beginner/basics/data_tutorial.html), in order to get batches of training examples (as neural networks are typically trained on batches of data using stochastic gradient descent = SGD)."
      ],
      "metadata": {
        "id": "JjGsB4ygjOSQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from torch.utils.data import DataLoader\n",
        "\n",
        "def collate_fn(batch):\n",
        "    data = torch.stack([item[0] for item in batch])\n",
        "    target = torch.stack([item[1] for item in batch])\n",
        "    return data, target\n",
        "\n",
        "train_dataloader = DataLoader(train_dataset, collate_fn=collate_fn, batch_size=2, shuffle=True)"
      ],
      "metadata": {
        "id": "eoEKM-Z-jOLh"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "batch = next(iter(train_dataloader))\n",
        "print(batch)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gt3JWSsj5ocg",
        "outputId": "dbb6652e-cfaa-469a-a599-89025fca58d4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(tensor([[[[-0.9922, -0.9922, -0.9922,  ..., -0.9922, -0.9922, -0.9922],\n",
            "          [-0.9922, -0.9922, -0.9922,  ..., -0.9922, -0.9922, -0.9922],\n",
            "          [-0.9922, -0.9922, -0.9922,  ..., -0.9922, -0.9922, -0.9922],\n",
            "          ...,\n",
            "          [-0.9922, -0.9922, -0.9922,  ..., -0.9922, -0.9922, -0.9922],\n",
            "          [-0.9922, -0.9922, -0.9922,  ..., -0.9922, -0.9922, -0.9922],\n",
            "          [-0.9922, -0.9922, -0.9922,  ..., -0.9922, -0.9922, -0.9922]],\n",
            "\n",
            "         [[-0.9922, -0.9922, -0.9922,  ..., -0.9922, -0.9922, -0.9922],\n",
            "          [-0.9922, -0.9922, -0.9922,  ..., -0.9922, -0.9922, -0.9922],\n",
            "          [-0.9922, -0.9922, -0.9922,  ..., -0.9922, -0.9922, -0.9922],\n",
            "          ...,\n",
            "          [-0.9922, -0.9922, -0.9922,  ..., -0.9922, -0.9922, -0.9922],\n",
            "          [-0.9922, -0.9922, -0.9922,  ..., -0.9922, -0.9922, -0.9922],\n",
            "          [-0.9922, -0.9922, -0.9922,  ..., -0.9922, -0.9922, -0.9922]],\n",
            "\n",
            "         [[-0.9922, -0.9922, -0.9922,  ..., -0.9922, -0.9922, -0.9922],\n",
            "          [-0.9922, -0.9922, -0.9922,  ..., -0.9922, -0.9922, -0.9922],\n",
            "          [-0.9922, -0.9922, -0.9922,  ..., -0.9922, -0.9922, -0.9922],\n",
            "          ...,\n",
            "          [-0.9922, -0.9922, -0.9922,  ..., -0.9922, -0.9922, -0.9922],\n",
            "          [-0.9922, -0.9922, -0.9922,  ..., -0.9922, -0.9922, -0.9922],\n",
            "          [-0.9922, -0.9922, -0.9922,  ..., -0.9922, -0.9922, -0.9922]]],\n",
            "\n",
            "\n",
            "        [[[-0.6863, -0.6863, -0.6863,  ..., -0.7647, -0.7647, -0.7647],\n",
            "          [-0.6863, -0.6863, -0.6863,  ..., -0.7647, -0.7647, -0.7647],\n",
            "          [-0.6863, -0.6863, -0.6863,  ..., -0.7647, -0.7647, -0.7725],\n",
            "          ...,\n",
            "          [-0.6392, -0.4667, -0.2863,  ..., -0.9686, -0.9686, -0.9686],\n",
            "          [-0.5686, -0.3804, -0.2078,  ..., -0.9765, -0.9765, -0.9765],\n",
            "          [-0.5137, -0.3176, -0.1529,  ..., -0.9765, -0.9765, -0.9765]],\n",
            "\n",
            "         [[-0.9294, -0.9294, -0.9294,  ..., -0.9216, -0.9137, -0.9137],\n",
            "          [-0.9294, -0.9294, -0.9294,  ..., -0.9216, -0.9137, -0.9137],\n",
            "          [-0.9294, -0.9294, -0.9294,  ..., -0.9137, -0.9137, -0.9137],\n",
            "          ...,\n",
            "          [-0.8275, -0.6706, -0.4902,  ..., -0.9608, -0.9608, -0.9608],\n",
            "          [-0.7647, -0.5843, -0.4118,  ..., -0.9686, -0.9686, -0.9686],\n",
            "          [-0.7176, -0.5294, -0.3647,  ..., -0.9686, -0.9686, -0.9686]],\n",
            "\n",
            "         [[-0.9451, -0.9451, -0.9529,  ..., -0.9294, -0.9373, -0.9451],\n",
            "          [-0.9451, -0.9451, -0.9529,  ..., -0.9373, -0.9373, -0.9451],\n",
            "          [-0.9451, -0.9451, -0.9529,  ..., -0.9451, -0.9451, -0.9451],\n",
            "          ...,\n",
            "          [-0.9294, -0.7804, -0.6157,  ..., -1.0000, -1.0000, -1.0000],\n",
            "          [-0.8745, -0.7020, -0.5451,  ..., -1.0000, -1.0000, -1.0000],\n",
            "          [-0.8353, -0.6471, -0.5059,  ..., -1.0000, -1.0000, -1.0000]]]]), tensor([[0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.],\n",
            "        [0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.]]))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(batch[0].shape)\n",
        "print(batch[1].shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "I1VgCaZ2JQCp",
        "outputId": "5fe59f89-7cec-4e60-f9ce-131a96ef6e5f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([2, 3, 384, 384])\n",
            "torch.Size([2, 16])\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Verify initial loss"
      ],
      "metadata": {
        "id": "oTW-m6-E03SG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "outputs = model(pixel_values=batch[0].to(device), labels=batch[1].to(device))"
      ],
      "metadata": {
        "id": "PZiJfqqo04hX"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "outputs.loss"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vX6d-xc11Biz",
        "outputId": "07b9959a-cabe-451f-e09d-7b13a3357525"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor(0.2510, device='cuda:0',\n",
              "       grad_fn=<BinaryCrossEntropyWithLogitsBackward0>)"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Train the model\n",
        "\n",
        "It's time to train the model! We'll train in regular PyTorch fashion here, but feel free to upgrade to leverage 🤗 [Accelerate](https://huggingface.co/docs/accelerate/index) (very useful for distributed training with minimal code changes), or leverage the 🤗 [Trainer](https://huggingface.co/docs/transformers/main_classes/trainer) class which handles a lot of the logic we're defining here for you (like creating dataloaders).\n",
        "\n",
        "NOTE: this notebook is only made for demo purposes. There's a lot to improve/tweak here:\n",
        "- learning rate\n",
        "- number of epochs\n",
        "- optimizer\n",
        "- gradient accumulation, gradient checkpointing, Flash Attention can be leveraged to speed up training\n",
        "- mixed precision training (bfloat16) etc.\n",
        "\n",
        "If you want a lot of this to be easily configurable, I'd recommend using the [Trainer](https://huggingface.co/docs/transformers/main_classes/trainer) API. For example usage, I refer to the [example script](https://github.com/huggingface/transformers/blob/main/examples/pytorch/image-classification/run_image_classification.py)."
      ],
      "metadata": {
        "id": "U8WbARMlInsY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# handy utility I found at https://github.com/wenwei202/pytorch-examples/blob/ecbb7beb0fac13133c0b09ef980caf002969d315/imagenet/main.py#L296\n",
        "class AverageMeter(object):\n",
        "    \"\"\"Computes and stores the average and current value\"\"\"\n",
        "    def __init__(self):\n",
        "        self.reset()\n",
        "\n",
        "    def reset(self):\n",
        "        self.val = 0\n",
        "        self.avg = 0\n",
        "        self.sum = 0\n",
        "        self.count = 0\n",
        "\n",
        "    def update(self, val, n=1):\n",
        "        self.val = val\n",
        "        self.sum += val * n\n",
        "        self.count += n\n",
        "        self.avg = self.sum / self.count"
      ],
      "metadata": {
        "id": "LHZdjLbzJ61l"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from torch.optim import AdamW\n",
        "from tqdm.auto import tqdm\n",
        "\n",
        "# move model to GPU\n",
        "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
        "model.to(device)\n",
        "\n",
        "optimizer = AdamW(model.parameters(), lr=5e-5)\n",
        "\n",
        "losses = AverageMeter()\n",
        "\n",
        "model.train()\n",
        "for epoch in range(10):  # loop over the dataset multiple times\n",
        "    for idx, batch in enumerate(tqdm(train_dataloader)):\n",
        "        # get the inputs;\n",
        "        pixel_values, labels = batch\n",
        "\n",
        "        # zero the parameter gradients\n",
        "        optimizer.zero_grad()\n",
        "\n",
        "        # forward pass\n",
        "        outputs = model(\n",
        "            pixel_values=pixel_values.to(device),\n",
        "            labels=labels.to(device),\n",
        "        )\n",
        "\n",
        "        # calculate gradients\n",
        "        loss = outputs.loss\n",
        "        losses.update(loss.item(), pixel_values.size(0))\n",
        "        loss.backward()\n",
        "\n",
        "        # optimization step\n",
        "        optimizer.step()\n",
        "\n",
        "        if idx % 100 == 0:\n",
        "            print('Epoch: [{0}]\\t'\n",
        "                  'Loss {loss.val:.4f} ({loss.avg:.4f})\\t'.format(\n",
        "                   epoch, loss=losses,))"
      ],
      "metadata": {
        "id": "lrGvRKRs5qN9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 516,
          "referenced_widgets": [
            "53c3913b50d0492abaf25bef6056c209",
            "66e87b691a07400987c7ef936a1bdb67",
            "f967960e8ff64cdb8166cf72d629d2c0",
            "ffd52ccd5e6249e0bf09feb62f776103",
            "77dc3714fef949778993ea9d4f7ee6a6",
            "295fce0d07d8446f9ef34b8db3fa4e8f",
            "a719b8e77dc2479abac4cd4ba965178a",
            "96a2ae9e1b17475db005a424f0c41303",
            "f8f97cce0e9647cdb103d0af77175fc8",
            "1cba018b638d4d7982989420056a3834",
            "3c31799f26094d72aa09cf892663051e",
            "48a70b520eaa4734841f8236d8a39146",
            "272fa64368ce4d76bdef6b3283cab78b",
            "3ca18cb1de094a91a5c047109fb890de",
            "9868ae1da13d483481624f1fb01162b0",
            "318c3e3a0bd245e9a1039e16f646591d",
            "b7a99576d5b943f1ad5c4bd7d51c2846",
            "09e1c2622a394c399d1e66d38349467d",
            "4ec688a65db94573a325631af704f364",
            "c3ffbb41fab94cf4ae11765cc7649301",
            "2afa4574adf7463ebd539bbb7bed0842",
            "3150dd48b94a4ea89508b450c44b2797",
            "bb56e752b8d84b5aaf38b2f4641a22ca",
            "ebf564225186401eb79bc687b52ad9a7",
            "9767761557ef41f2a9a2343dd347c463",
            "8028c14844014f3ab312f3cde798b3e5",
            "817cf4d859d44fe2839ccbeba97d919d",
            "1273633085aa4af89291eff3e4e2f29f",
            "f6c95a1f681e4ecf97f216a36095aba8",
            "1a9700eee6ac4a1fb08e609fa8418d05",
            "1470b118a0f0413abdab02fca78dd45c",
            "b09c8897dce84ecdba671e44a4ad1b98",
            "672d4d8051b045489b5e6e4788877a62",
            "fbca8f9d5aed4825b4fcd8ec01277f4d",
            "2a07f3eb90404ef98d89060a0eddfe73",
            "7bc75bc1d826484f88bdfada3bef1a6c",
            "410b9b95eb9448b5ad8d03ed54b21c2c",
            "e19f1c0c8ea24feb85ac4934183044ab",
            "d3969260e23f42ab8d80fc46fe5c1dfa",
            "e89ea1edf8164d509dd2b7c0968b5051",
            "9877af3d2d8847068d687a323a40eeeb",
            "bb5156186e124f7d8ce959d1b4a0f769",
            "426c31240cc346a1967d772ce304a493",
            "ea82f8a6a31b43af830b832fc3ff8c4e",
            "695e3f08a98d4589b870123ebe6e525d",
            "a3c79eae8be846e78e17d5ecf2d3f63c",
            "cd17ef38f1b147a0bf8702bd3477280e",
            "90cb20ff6b4542b2a5c570398999aacd",
            "28baed29362d4a40bba721753c5201df",
            "2f92231e4a854825a9a9be040b9c2d28",
            "0ae0bfd052714b4a96b69be1c6cb7d82",
            "99883ce5617347f099f417e017e617bc",
            "8c0519a977fd412589b7a30f482f2e22",
            "c27aa0a7b07645ebbf3c6b0b66f1103d",
            "ad629226d74249288b4fa6866ed70846",
            "5a5d1ca544f24785a68ef1b011dbd247",
            "573058100bfd4d8eaac3360648b01194",
            "a50a0782ad3945d3abe14542dbe14a6e",
            "8df892c01cc245ce8f87d6825c0e6080",
            "0220e3fcacab4b96be29a8a4236181e5",
            "8fed2c1845ae45b58ea7f41b5ecd67cd",
            "b1242c32c8ed4c10b970fd2775d4b877",
            "87c8a0f4d8bb4f908a85546448e3dfce",
            "ffc63f8b2e094f40b445c3b5e6943dbd",
            "5c7b68e65cfe4fe7bf429968a8c92973",
            "99aba74e78ef4eff8b93c49252e98748",
            "53e91c04d0a04445ab46d07baa14fd12",
            "3726866b879c4f2183ee8f734339ad9a",
            "355791ee68134040b512462121ed2c77",
            "b2351252bac448ca9f0368b35f7ea2e8",
            "d7ee98550c9642f3a6fb2136c2678022",
            "57c6007eaa814a8cae87fb0bc6daf620",
            "b133481a0611448392c57b58f6d6aec8",
            "a0b481408d4d4b0d8a371fe4fac12582",
            "0f4462714e954b4e8fb75e70d609fdca",
            "ba548ce17fd04fa9a5f693eaf4d8141a",
            "8de6fc63e0184c69b56040370354d26b",
            "cd17da39a12942589b7cad0eb067cea9",
            "5270b27da7ff4b1985aa1eeec152e2c3",
            "25b9aaed2abe4068974a3162b951fd99",
            "8f66fd7618b84c1dbd6da8b6d40a9ad5",
            "2d66e1e26b304dd68813117bdb21cc31",
            "d543741235c24a75840418f1e1876614",
            "19e896651fdc45519df678262d517401",
            "a3fc3c1dfe0b494297165dd0fa3f8cc1",
            "e38e3fc0314447a88255915c7b5caac8",
            "0ec0309d58e8414c9a49b049163a6b0c",
            "e14f25278ced4b4c957d262d8bc3dd57",
            "69cfa4542b744198879f96d7d4b2d0cf",
            "2f965b8cab474b28afbe56cf2a4818f8",
            "ae2e90c909dd45fc8a49f2377e94b6e6",
            "a69df009eb0742b881cbee86db6d352a",
            "b37b1326b8b64320a21a177eb5732c4e",
            "fc95757d976d4962a7eea2c408317bbd",
            "2f5c5a0710264b00a5f98170b0bf8442",
            "dc5ec18e0e114377a83f7020c18ad1d9",
            "4ada31feac41496d829e92a20a7348e4",
            "1df82f920ac845b483722c390cf955ec",
            "6a7a867bd89f4d88a121a915722c9da0",
            "afa174b11a39412ca8ea79a6d34751fb",
            "44f7010a69444e47b70172721fee80b6",
            "fae402789f484014afb4ac166aa0f46c",
            "b465bda6b83d46f2842b5de03002ccc3",
            "6d9a9be5a7fe4d35b63600c03a8b1714",
            "12148869c6644166a830c73d2d8e8c63",
            "839239892bf745e08262cc261a5069ef",
            "1c36967bb6f745858bb7066a1fb9e395",
            "b789eb76447d4f328fe0c1cbdee177c7",
            "53ed4913b682495ab9382bbc5c5de6f5",
            "8a275f9c451f483a9abc3d6fe2c99fb8"
          ]
        },
        "outputId": "a3bfad16-0967-44ec-d6a3-13bf56a10e68"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/25 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "53c3913b50d0492abaf25bef6056c209"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch: [0]\tLoss 0.1449 (0.1449)\t\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/25 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "48a70b520eaa4734841f8236d8a39146"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch: [1]\tLoss 0.0764 (0.1719)\t\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/25 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "bb56e752b8d84b5aaf38b2f4641a22ca"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch: [2]\tLoss 0.0782 (0.1438)\t\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/25 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "fbca8f9d5aed4825b4fcd8ec01277f4d"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch: [3]\tLoss 0.0125 (0.1274)\t\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/25 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "695e3f08a98d4589b870123ebe6e525d"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch: [4]\tLoss 0.1694 (0.1141)\t\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/25 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "5a5d1ca544f24785a68ef1b011dbd247"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch: [5]\tLoss 0.0600 (0.1039)\t\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/25 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "53e91c04d0a04445ab46d07baa14fd12"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch: [6]\tLoss 0.1585 (0.0966)\t\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/25 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "cd17da39a12942589b7cad0eb067cea9"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch: [7]\tLoss 0.0013 (0.0891)\t\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/25 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "69cfa4542b744198879f96d7d4b2d0cf"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch: [8]\tLoss 0.1019 (0.0857)\t\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/25 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "afa174b11a39412ca8ea79a6d34751fb"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch: [9]\tLoss 0.0029 (0.0847)\t\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Inference\n",
        "\n",
        "Let's showcase inference on a new image."
      ],
      "metadata": {
        "id": "8hqtWZSp1wvy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# load image to test on\n",
        "image = Image.open(\"/content/drive/MyDrive/ConvNext/Tutorial notebooks/Data/multilabel_modified/images/image6179.jpg\")\n",
        "image"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 355
        },
        "id": "xDYmSEVj13fd",
        "outputId": "cf1a57ca-a860-4b73-9887-773b177ec4fb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=450x338>"
            ],
            "image/png": "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\n"
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model.eval()\n",
        "\n",
        "# prepare image for the model\n",
        "pixel_values = processor(image, return_tensors=\"pt\").pixel_values.to(device)\n",
        "\n",
        "# forward pass\n",
        "with torch.no_grad():\n",
        "  outputs = model(pixel_values)\n",
        "  logits = outputs.logits"
      ],
      "metadata": {
        "id": "JG7QLSKpKqKm"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Note: as we used the [BCEWithLogitsLoss](https://pytorch.org/docs/stable/generated/torch.nn.BCEWithLogitsLoss.html) during training (which applies a sigmoid on the logits before calculating a loss), we need to apply sigmoid to the logits here as well. This turns them into individual probabilities."
      ],
      "metadata": {
        "id": "xyGj8ye05BWo"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# turn into probabilities by applying sigmoid\n",
        "sigmoid = torch.nn.Sigmoid()\n",
        "probs = sigmoid(logits.squeeze().cpu())\n",
        "\n",
        "# select the probabilities > a certain threshold (e.g. 50%) as predicted\n",
        "predictions = np.zeros(probs.shape)\n",
        "predictions[np.where(probs >= 0.5)] = 1 # turn predicted id's into actual label names\n",
        "predicted_labels = [id2label[idx] for idx, label in enumerate(predictions) if label == 1.0]\n",
        "print(predicted_labels)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Vx2KR8sO34cl",
        "outputId": "7d8377c9-a0e3-44f9-ab98-91ea6c3f2950"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['truck']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "I barely trained the model on only 50 examples for debugging purposes, and it looks like training is working (model is predicting \"truck\" here instead of \"bus\" but would require more training)."
      ],
      "metadata": {
        "id": "97k9optUHD-G"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "PGElF9o04NEv"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}